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← Authors

Haobo Fu

28 papers · 2021–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13)
🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (31) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) 🀝 Dynamic Duo (26) πŸ”₯ Unstoppable (5) πŸ“ˆ Trend Setter πŸ’Ž Century Club (27) πŸ—ƒοΈ Keyword Collector (62) ⚑ Prolific Year (8)

Conferences

ICLR (8) ICML (5) NIPS (5) AAAI (4) IJCAI (3) UAI (2) CORL (1)

Top co-authors

Qiang Fu (27) Kai Li (16) Junliang Xing (15) Jian Cheng (11) Weiming Liu (6) Yifan Zang (6) Shuang Wu (5) Bingyun Liu (5) Yang Wei (4) Jinmin He (4)

Keywords

opponent modeling (5) imperfect information game (3) multi-agent learning (3) imperfect-information game (3) counterfactual regret minimization (3) policy learning (3) in-context learning (2) game theory (2) multi-agent system (2) parameter sharing (2) nash equilibrium (2) evolutionary algorithm (2) multi-task reinforcement learning (2) online mirror descent (1) action-value function (1) algorithm design (1) game artificial intelligence (1) online learning (1) zero-shot generalization (1) regret bound (1)

Papers

Deep (Predictive) Discounted Counterfactual Regret Minimization AAAI 2026 Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning ICML 2025 Online-to-Offline RL for Agent Alignment ICLR 2025 Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation UAI 2025 Enhanced Equilibria-Solving via Private Information Pre-Branch Structure in Adversarial Team Games UAI 2025 Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning ICLR 2025 MCU: An Evaluation Framework for Open-Ended Game Agents ICML 2025 Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement ICML 2025 An Open-Ended Learning Framework for Opponent Modeling AAAI 2025 Towards Offline Opponent Modeling with In-context Learning ICLR 2024 Opponent Modeling with In-context Search NIPS 2024 Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance NIPS 2024 Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing AAAI 2024 Maximum Entropy Heterogeneous-Agent Reinforcement Learning ICLR 2024 Dynamic Discounted Counterfactual Regret Minimization ICLR 2024 Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024 Quality-Similar Diversity via Population Based Reinforcement Learning ICLR 2023 A Robust and Opponent-Aware League Training Method for StarCraft II NIPS 2023 PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training CORL 2023 Policy Space Diversity for Non-Transitive Games NIPS 2023 Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NIPS 2023 Opponent-Limited Online Search for Imperfect Information Games ICML 2023 Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots ICLR 2023 Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting IJCAI 2023 Greedy when Sure and Conservative when Uncertain about the Opponents ICML 2022 AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms AAAI 2022 Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game ICLR 2022 Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu IJCAI 2021